This document proposes an approach to study the impact of collaboration on software systems through mining development repositories. The approach involves:
I. Extracting communication data such as source code comments, emails, and issue discussions from version control systems, mailing lists, and issue tracking systems.
II. Studying the impact of collaboration on software quality by computing social metrics from the extracted communication data and measuring their relationship to post-release defects.
III. Studying the impact of collaboration on the development community by analyzing data on how code contributions are managed, such as feedback and reviews, to understand how contributors, reviewers, and the software are affected by communication.
Kalman Graffi - 15 Slide on Monitoring P2P Systems - 2010Kalman Graffi
The document discusses monitoring and managing peer-to-peer (P2P) overlays. It notes that as P2P applications have evolved to support real-time services like voice/video, there is a need to coordinate millions of autonomous peers to provide controlled quality of service (QoS). The modular nature of P2P software also necessitates monitoring and management components to optimize performance across dynamic, heterogeneous networks of peers.
IEEE P2P 2009 - Kalman Graffi - Monitoring and Management of Structured Peer-...Kalman Graffi
The peer-to-peer paradigm shows the potential to provide the same functionality and quality like client/server based systems, but with much lower costs. In order to control the quality of peer-to-peer systems, monitoring and management mechanisms need to be applied. Both tasks are challenging in large-scale networks with autonomous, unreliable nodes. In this paper we present a monitoring and management framework for structured peer-to-peer systems. It captures the live status of a peer-to-peer network in an exhaustive statistical representation. Using principles of autonomic computing, a preset system state is approached through automated system re-configuration in the case that a quality deviation is detected. Evaluation shows that the monitoring is very precise and lightweight and that preset quality goals are reached and kept automatically.
This document discusses multimedia authoring tools and techniques. It covers 3D modeling software like 3D Studio Max and how to use texture mapping and animation. It also discusses web page authoring using Dreamweaver and how layers can represent different HTML objects. Automatic authoring of multimedia is discussed, specifically problems with moving from text-based to image-based authoring and managing nodes from legacy documents. Simple animation is demonstrated using a fish sprite moving along a path overlaid on video.
The document discusses the DAME (Data Mining & Exploration) project, which aims to implement data mining applications and services for massive data analysis and exploration using a distributed computing environment. It seeks to standardize data mining methods and make them interoperable within the virtual observatory. The project has developed several web applications and investigates using a plugin architecture and standardized accounting to improve interoperability between applications and minimize data transfer requirements. The goal is to develop a unified data mining application approach for the virtual observatory.
Ontology Mapping for Dynamic Multiagent Environment IJORCS
Ontologies are essential for the realization of the Semantic Web, which in turn relies on the ability of systems to identify and exploit relationships that exist between and within ontologies. As ontologies can be used to represent different domains, there is a high need for efficient ontology matching techniques that can allow information to be easily shared between different heterogeneous systems. There are various systems were proposed recently for ontology mapping. Ontology mapping is a prerequisite for achieving heterogeneous data integration on the Semantic Web. The vision of the Semantic Web implies that a large number of ontologies present on the web need to be aligned before one can make use of them. At the same time, these ontologies can be used as domain-specific background knowledge by the ontology mapping systems to increase the mapping precision. However, these ontologies can differ in representation, quality, and size that pose different challenges to ontology mapping. In this paper, we analyzed the various challenges of recently introduced Multi-Agent Ontology Mapping Framework, DSSim and we have integrated an efficient feature called QoS-Web Services Composition with DSSsim. ie we have improved this framework with QoS based Service Compositions Mechanism. From our experimental results, it is established that this developed QoS based Web Services Compositions Mechanism for Multiagent Ontology Mapping Framework minimizing uncertain reasoning and improves matching time, which are encouraging results of our proposed work.
This document summarizes discussions from a panel at ICSE 2011 on the topic of what industry wants from software engineering research. The panelists represented large companies like Google, IBM, Microsoft, and Toshiba. They discussed industry's perceptions of academic research as sometimes irrelevant and not addressing cutting-edge problems. They noted a preference in industry for quantitative data over qualitative findings. Suggestions to improve research impact included researchers attending practitioner conferences and distilling results for non-academic audiences. The panel also identified developer tools, code, users, evaluation, management as topics of research interest to industry.
SHriMP Views was an early software visualization tool that provided hierarchical multi-perspective views of code to aid program comprehension. It was evaluated through empirical studies and evolved over time based on lessons learned. The document discusses the history and development of SHriMP Views, lessons learned about tool design and evaluation, and promising areas for future work in software visualization and exploration tools.
Mining Software Repositories: Using Humans to Better SoftwareMarat Akhin
The document discusses mining software repositories (MSR), which involves analyzing historical software development data to understand empirical aspects of software development and help guide future work. MSR data can include version control systems, bug trackers, communication logs, execution traces, and source code. MSR methods include classification, clustering, and statistical analysis. Studies have shown MSR insights can help with quality assurance, architecture analysis, bug prediction, and providing developer feedback. Specific examples analyze correlations between bugs and factors like code changes on Fridays or reopened bugs, the relationship between code reviews and bugs, and whether code clones are linked to more or fewer bugs than other code. The document concludes more MSR studies are possible as open source code and cloud data doubles
Kalman Graffi - 15 Slide on Monitoring P2P Systems - 2010Kalman Graffi
The document discusses monitoring and managing peer-to-peer (P2P) overlays. It notes that as P2P applications have evolved to support real-time services like voice/video, there is a need to coordinate millions of autonomous peers to provide controlled quality of service (QoS). The modular nature of P2P software also necessitates monitoring and management components to optimize performance across dynamic, heterogeneous networks of peers.
IEEE P2P 2009 - Kalman Graffi - Monitoring and Management of Structured Peer-...Kalman Graffi
The peer-to-peer paradigm shows the potential to provide the same functionality and quality like client/server based systems, but with much lower costs. In order to control the quality of peer-to-peer systems, monitoring and management mechanisms need to be applied. Both tasks are challenging in large-scale networks with autonomous, unreliable nodes. In this paper we present a monitoring and management framework for structured peer-to-peer systems. It captures the live status of a peer-to-peer network in an exhaustive statistical representation. Using principles of autonomic computing, a preset system state is approached through automated system re-configuration in the case that a quality deviation is detected. Evaluation shows that the monitoring is very precise and lightweight and that preset quality goals are reached and kept automatically.
This document discusses multimedia authoring tools and techniques. It covers 3D modeling software like 3D Studio Max and how to use texture mapping and animation. It also discusses web page authoring using Dreamweaver and how layers can represent different HTML objects. Automatic authoring of multimedia is discussed, specifically problems with moving from text-based to image-based authoring and managing nodes from legacy documents. Simple animation is demonstrated using a fish sprite moving along a path overlaid on video.
The document discusses the DAME (Data Mining & Exploration) project, which aims to implement data mining applications and services for massive data analysis and exploration using a distributed computing environment. It seeks to standardize data mining methods and make them interoperable within the virtual observatory. The project has developed several web applications and investigates using a plugin architecture and standardized accounting to improve interoperability between applications and minimize data transfer requirements. The goal is to develop a unified data mining application approach for the virtual observatory.
Ontology Mapping for Dynamic Multiagent Environment IJORCS
Ontologies are essential for the realization of the Semantic Web, which in turn relies on the ability of systems to identify and exploit relationships that exist between and within ontologies. As ontologies can be used to represent different domains, there is a high need for efficient ontology matching techniques that can allow information to be easily shared between different heterogeneous systems. There are various systems were proposed recently for ontology mapping. Ontology mapping is a prerequisite for achieving heterogeneous data integration on the Semantic Web. The vision of the Semantic Web implies that a large number of ontologies present on the web need to be aligned before one can make use of them. At the same time, these ontologies can be used as domain-specific background knowledge by the ontology mapping systems to increase the mapping precision. However, these ontologies can differ in representation, quality, and size that pose different challenges to ontology mapping. In this paper, we analyzed the various challenges of recently introduced Multi-Agent Ontology Mapping Framework, DSSim and we have integrated an efficient feature called QoS-Web Services Composition with DSSsim. ie we have improved this framework with QoS based Service Compositions Mechanism. From our experimental results, it is established that this developed QoS based Web Services Compositions Mechanism for Multiagent Ontology Mapping Framework minimizing uncertain reasoning and improves matching time, which are encouraging results of our proposed work.
This document summarizes discussions from a panel at ICSE 2011 on the topic of what industry wants from software engineering research. The panelists represented large companies like Google, IBM, Microsoft, and Toshiba. They discussed industry's perceptions of academic research as sometimes irrelevant and not addressing cutting-edge problems. They noted a preference in industry for quantitative data over qualitative findings. Suggestions to improve research impact included researchers attending practitioner conferences and distilling results for non-academic audiences. The panel also identified developer tools, code, users, evaluation, management as topics of research interest to industry.
SHriMP Views was an early software visualization tool that provided hierarchical multi-perspective views of code to aid program comprehension. It was evaluated through empirical studies and evolved over time based on lessons learned. The document discusses the history and development of SHriMP Views, lessons learned about tool design and evaluation, and promising areas for future work in software visualization and exploration tools.
Mining Software Repositories: Using Humans to Better SoftwareMarat Akhin
The document discusses mining software repositories (MSR), which involves analyzing historical software development data to understand empirical aspects of software development and help guide future work. MSR data can include version control systems, bug trackers, communication logs, execution traces, and source code. MSR methods include classification, clustering, and statistical analysis. Studies have shown MSR insights can help with quality assurance, architecture analysis, bug prediction, and providing developer feedback. Specific examples analyze correlations between bugs and factors like code changes on Fridays or reopened bugs, the relationship between code reviews and bugs, and whether code clones are linked to more or fewer bugs than other code. The document concludes more MSR studies are possible as open source code and cloud data doubles
The document proposes using MapReduce as a general framework to support research in mining software repositories (MSR). It describes how MapReduce can provide efficiency, scalability, adaptability and flexibility for common MSR tasks like analyzing large code repositories. A case study of applying MapReduce to the J-REX MSR tool shows significant reductions in running time for large datasets. Minimal programming effort was required and MapReduce could run on various computing environments.
The document describes a study on understanding log lines using development knowledge from source code. The researchers examined real-life inquiries about log lines from user mailing lists and logs of three large software systems. They found that experts are crucial in resolving log inquiries, with 8 out of 11 resolved inquiries addressed by experts. The researchers propose attaching development knowledge like source code, code comments, and issue reports to logs to help practitioners understand log messages without relying on expert assistance. An example demonstrates how different types of development knowledge can help explain the meaning, cause, impact and solution for the log message "fetch failure".
This document proposes an approach to assist developers in verifying the deployment of big data analytics applications on Hadoop clouds. The approach involves three main steps: 1) log abstraction reduces the size of logs by grouping similar log lines, 2) log linking provides context by linking logs with the same task IDs, and 3) sequence simplification deals with repeated logs by removing duplicate events. This helps address issues like the large amount of log data and lack of context when verifying applications at scale in cloud environments.
Our approach uses regression models on clustered performance counters to automatically detect performance regressions. It reduces counters, clusters remaining counters, selects target counters showing most significant differences between versions, and builds regression models to predict counters in the new version. When applied to real systems, our approach picks a small number of target counters and can accurately detect performance regressions, outperforming traditional approaches.
This document discusses using Application Performance Management (APM) tools to detect performance regressions in web applications. It presents a case study where performance regressions were injected into test systems and then evaluated whether commercial and open source APM tools could detect the issues. The study found that APM tools can successfully detect some performance regressions, but they have limitations like producing large reports that require manual exploration and lacking actionable suggestions for fixes. The document concludes that APM tools show promise as a way to deploy performance regression detection research into practice.
This document discusses an approach for detecting performance anti-patterns in applications developed using Object-Relational Mapping (ORM). It presents a framework that can detect and rank performance anti-patterns based on their expected impact. As an example, it describes how the framework can detect an excessive data anti-pattern where ORM configurations eagerly retrieve data from the database that is never used. Repeated measurements are used to quantify the actual performance impact of anti-patterns by fixing the issues. The framework was evaluated on several open-source systems where it identified hundreds of potential excessive data anti-patterns.
Mining Sociotechnical Information From Software RepositoriesMarco Aurelio Gerosa
A large amount of data is produced during collaborative software development. The analysis of such data sets a great opportunity to better understand Software Engineering from the perspective of evidence-based research. Mining software repositories studies have explored both the technical and social aspects of software development contributed to the discovery of important information about how software development evolves and how developers collaborate. Several repositories store data regarding source code production (version control systems), communication between developers and users (forums and mailing lists), and coordination of activities (issue tracker, task managers, etc.). In the open source world, such data is available in large ecosystems of software development. Platforms such as GitHub host millions of repositories, which receive contributions from millions of developers worldwide. Some project repositories register data from more than a decade of development, enabling the analysis of projects from a historical perspective. In this talk, I will discuss some of the uses and challenges of mining software repositories, focusing on some works conducted in our group, such as: identification of change dependencies, evaluation of architectural degradation from commit meta-data, core-periphery analysis of developers participation, change-proneness prediction, analysis of the impact of refactoring on code quality, and relations between quality attributes of the test and the code being tested.
This document reports on scaling tools for mining software repositories (MSR) studies using MapReduce. It finds that MapReduce can effectively scale three large MSR studies - a software evolution study, code clone detection, and log analysis - to larger datasets and clusters of up to 28 machines. The main challenges in migrating MSR studies to MapReduce are the locality and granularity of the analysis, locating a suitable cluster, managing large datasets, and handling errors.
Towards the Social Programmer (MSR 2012 Keynote by M. Storey)Margaret-Anne Storey
Audio+slide video is posted at http://margaretannestorey.wordpress.com.
Slides from a Keynote at Mining Software Repository Conference 2012, co-located with ICSE 2012 in Zurich, Switzerland.
This document outlines an internship timeline and responsibilities for a manager position at Microsoft. It discusses using analytics and metrics to improve software development processes and products. Key responsibilities include defining schedules and milestones, delivering products on time, developing effective metrics, and ensuring accountability, customer feedback, and effective decision making. The document also discusses challenges in using analytics and different types of software analytics techniques like exploration, analysis, experimentation, summarization, and modeling to gain insights from data. It demonstrates a prototype tool for surprise analysis of changes in a software project.
Empirical Software Engineering at Microsoft ResearchThomas Zimmermann
An invited talk that I gave in Tokyo. Very special thanks to Shuji Morisaki who was my translator during the session. Many thanks to Chris Bird, Nachi Nagappan, Rahul Premraj, and Sascha Just who provided slides for this talk.
This document presents a metric for measuring software readability. It hypothesizes that using a simple set of local code features, an accurate model of readability can be derived from human judgments of readability. The document outlines acquiring human readability judgments, extracting a predictive model from those judgments, evaluating the model's performance, and correlating readability with external notions of software quality and the software lifecycle.
In this talk, I consider various channels of social media and consider how they impact software engineering. I then focus on what the channels enable (e.g. peer production, social programmer) and how these may change the laws and assumptions of software evolution.
The document discusses the evolution of social media and its impact on software engineering. It outlines how communication channels have changed over time from non-digital to digital to socially-enabled digital tools. A developer survey found that developers use an ecosystem of 12 or more tools on average to support different activities. Key challenges identified include information overload, maintaining focus, finding trustworthy content, barriers to community participation, and tool/channel integration issues. Opportunities discussed include the rise of the "social programmer", treating software knowledge as a public good, participatory development culture, and improving the social media ecosystem for developers.
This document discusses software mining and datasets. It begins by introducing Tao Xie and his research group at the University of Illinois which focuses on software analytics. It then discusses different types of software services and data, how data has become more pervasive, and challenges in making repositories more actionable. Key topics in software analytics research are discussed including the goal of enabling insights for practitioners. Examples of mined information from different repository types like source code, bug reports, and mailing lists are provided.
A companion blogpost is available here: http://margaretstorey.com/blog/2016/12/01/fse2016panel/
The panel is available on YouTube: https://youtu.be/sE_jX92jJr8
Abstract: As software becomes more ubiquitous and pervasive in today’s interconnected and instrumented world, software engineering—as a practice and as a research topic—is having a hard time keeping up. In this panel, we invite FSE 2016’s participants to engage with five prominent software engineering researchers as they reflect on the state of current software engineering research and share how they each believe our work impacts (or should impact) science, society and industry. Our panelists will discuss whether our community as a whole is achieving the right balance of science, engineering and design in its combined research efforts. This lively and interactive panel discussion will also highlight new areas of research that our community should pay more attention to, as well as suggest new ways of conducting research that could improve the impact of software engineering research in the near and distant future.
Panelists:
Lionel Briand, University of Luxembourg
Prem Devanbu, University of California at Davis
Peri Tarr, IBM Research
Laurie Williams, North Carolina State University
Tao Xie, University of Illinois at Urbana-Champaign
Moderator:
Margaret-Anne Storey, University of Victoria
Summary of ICSE 2011 Panel on "What Industry wants from Research". This is a summary of all the presentations from that panel that I presented in an invited talk at the CSER meeting in Toronto, November, 2011.
SLE 2012 Keynote: Cognitive and Social Challenges of Ontology Use in the Biom...Margaret-Anne Storey
ABSTRACT: Ontologies can provide a conceptualization of a domain leading to a common vocabulary for communities of researchers and important standards to facilitate computation, software interoperability and data reuse. Most successful ontologies, especially those that have been developed by diverse communities over long periods of time, are typically large and complex. To address this complexity, ontology authoring and browsing tools must provide cognitive support to improve comprehension of the many concepts and relationships in ontologies. Also, ontology tools must support collaboration as the heart of ontology design and use is centered on community consensus.
In this talk, I will describe how standardized ontologies are developed and used in the biomedical and clinical domains to aid in scientific and medical discoveries. Specifically, I will present how the US National Center for Biomedical Ontology has designed the BioPortal ontology library (and associated technologies) to promote the use of standardized ontologies and tools. I will review how BioPortal and other ontology tools use established and novel visualization and collaboration approaches to improve ontology authoring and data curation activities. I will also discuss an ambitious project by the World Health Organization that leverages the use of social media to broaden participation in the development of the next version of the International Classification of Diseases. To conclude, I will discuss the challenges and opportunities that arise from using ontologies to bridge communities that manage and curate important information resources.
This document outlines a proposed research approach to study the impact of collaboration on software systems. The approach involves: (1) extracting communication data from version control systems, mailing lists, and issue tracking systems, (2) studying the impact of collaboration on software quality by analyzing relationships between social metrics and post-release defects, and (3) studying the impact on development communities by analyzing how contribution management is impacted by communication. The researcher aims to validate these relationships through empirical studies of collaboration data and metrics from open source projects.
Managing Complexity Across Today’s Application Delivery Chain:Six key indicat...Compuware APM
Managing Complexity Across Today’s Application Delivery Chain:
Six key indicators for prioritizing application performance improvements
Today’s application delivery chain is harder to manage than ever. Applications ranging from mission-critical legacy systems to innovative productivity tools running on employee-owned smartphones all must be delivered flawlessly. Additionally, technologies like virtualization, the cloud and WAN optimization make managing performance even more complex. As each new application generation is deployed on top of existing assets, managing system-wide application availability and performance becomes increasingly dependent on a growing collection of incompatible tools, informal processes and multiple – often siloed – stakeholders.
This complexity is only going to grow. In this webinar, you will learn how to tame complexity and optimally manage application availability and performance.
• J.P. Garbani, of Forrester Research, highlights new research that assesses the complexity in IT operations, both now and in the future.
• Compuware’s Steve Tack details a strategic approach that will allow customers to plan and implement a coherent, structured APM framework based on the concept of an APM “Performance Journey.”
You'll learn :
• six key indicators that will reveal your APM problem areas
• how to develop a performance journey roadmap based on five core areas of APM best practices in order to manage and monitor application complexity more efficiently
• how to achieve the following goals:
• increase productivity while lowering costs
• maintain and improve service quality
• adopt new service demand quickly and efficiently
• align IT goals to meet business needs
• what the future holds for IT operations
The document proposes using MapReduce as a general framework to support research in mining software repositories (MSR). It describes how MapReduce can provide efficiency, scalability, adaptability and flexibility for common MSR tasks like analyzing large code repositories. A case study of applying MapReduce to the J-REX MSR tool shows significant reductions in running time for large datasets. Minimal programming effort was required and MapReduce could run on various computing environments.
The document describes a study on understanding log lines using development knowledge from source code. The researchers examined real-life inquiries about log lines from user mailing lists and logs of three large software systems. They found that experts are crucial in resolving log inquiries, with 8 out of 11 resolved inquiries addressed by experts. The researchers propose attaching development knowledge like source code, code comments, and issue reports to logs to help practitioners understand log messages without relying on expert assistance. An example demonstrates how different types of development knowledge can help explain the meaning, cause, impact and solution for the log message "fetch failure".
This document proposes an approach to assist developers in verifying the deployment of big data analytics applications on Hadoop clouds. The approach involves three main steps: 1) log abstraction reduces the size of logs by grouping similar log lines, 2) log linking provides context by linking logs with the same task IDs, and 3) sequence simplification deals with repeated logs by removing duplicate events. This helps address issues like the large amount of log data and lack of context when verifying applications at scale in cloud environments.
Our approach uses regression models on clustered performance counters to automatically detect performance regressions. It reduces counters, clusters remaining counters, selects target counters showing most significant differences between versions, and builds regression models to predict counters in the new version. When applied to real systems, our approach picks a small number of target counters and can accurately detect performance regressions, outperforming traditional approaches.
This document discusses using Application Performance Management (APM) tools to detect performance regressions in web applications. It presents a case study where performance regressions were injected into test systems and then evaluated whether commercial and open source APM tools could detect the issues. The study found that APM tools can successfully detect some performance regressions, but they have limitations like producing large reports that require manual exploration and lacking actionable suggestions for fixes. The document concludes that APM tools show promise as a way to deploy performance regression detection research into practice.
This document discusses an approach for detecting performance anti-patterns in applications developed using Object-Relational Mapping (ORM). It presents a framework that can detect and rank performance anti-patterns based on their expected impact. As an example, it describes how the framework can detect an excessive data anti-pattern where ORM configurations eagerly retrieve data from the database that is never used. Repeated measurements are used to quantify the actual performance impact of anti-patterns by fixing the issues. The framework was evaluated on several open-source systems where it identified hundreds of potential excessive data anti-patterns.
Mining Sociotechnical Information From Software RepositoriesMarco Aurelio Gerosa
A large amount of data is produced during collaborative software development. The analysis of such data sets a great opportunity to better understand Software Engineering from the perspective of evidence-based research. Mining software repositories studies have explored both the technical and social aspects of software development contributed to the discovery of important information about how software development evolves and how developers collaborate. Several repositories store data regarding source code production (version control systems), communication between developers and users (forums and mailing lists), and coordination of activities (issue tracker, task managers, etc.). In the open source world, such data is available in large ecosystems of software development. Platforms such as GitHub host millions of repositories, which receive contributions from millions of developers worldwide. Some project repositories register data from more than a decade of development, enabling the analysis of projects from a historical perspective. In this talk, I will discuss some of the uses and challenges of mining software repositories, focusing on some works conducted in our group, such as: identification of change dependencies, evaluation of architectural degradation from commit meta-data, core-periphery analysis of developers participation, change-proneness prediction, analysis of the impact of refactoring on code quality, and relations between quality attributes of the test and the code being tested.
This document reports on scaling tools for mining software repositories (MSR) studies using MapReduce. It finds that MapReduce can effectively scale three large MSR studies - a software evolution study, code clone detection, and log analysis - to larger datasets and clusters of up to 28 machines. The main challenges in migrating MSR studies to MapReduce are the locality and granularity of the analysis, locating a suitable cluster, managing large datasets, and handling errors.
Towards the Social Programmer (MSR 2012 Keynote by M. Storey)Margaret-Anne Storey
Audio+slide video is posted at http://margaretannestorey.wordpress.com.
Slides from a Keynote at Mining Software Repository Conference 2012, co-located with ICSE 2012 in Zurich, Switzerland.
This document outlines an internship timeline and responsibilities for a manager position at Microsoft. It discusses using analytics and metrics to improve software development processes and products. Key responsibilities include defining schedules and milestones, delivering products on time, developing effective metrics, and ensuring accountability, customer feedback, and effective decision making. The document also discusses challenges in using analytics and different types of software analytics techniques like exploration, analysis, experimentation, summarization, and modeling to gain insights from data. It demonstrates a prototype tool for surprise analysis of changes in a software project.
Empirical Software Engineering at Microsoft ResearchThomas Zimmermann
An invited talk that I gave in Tokyo. Very special thanks to Shuji Morisaki who was my translator during the session. Many thanks to Chris Bird, Nachi Nagappan, Rahul Premraj, and Sascha Just who provided slides for this talk.
This document presents a metric for measuring software readability. It hypothesizes that using a simple set of local code features, an accurate model of readability can be derived from human judgments of readability. The document outlines acquiring human readability judgments, extracting a predictive model from those judgments, evaluating the model's performance, and correlating readability with external notions of software quality and the software lifecycle.
In this talk, I consider various channels of social media and consider how they impact software engineering. I then focus on what the channels enable (e.g. peer production, social programmer) and how these may change the laws and assumptions of software evolution.
The document discusses the evolution of social media and its impact on software engineering. It outlines how communication channels have changed over time from non-digital to digital to socially-enabled digital tools. A developer survey found that developers use an ecosystem of 12 or more tools on average to support different activities. Key challenges identified include information overload, maintaining focus, finding trustworthy content, barriers to community participation, and tool/channel integration issues. Opportunities discussed include the rise of the "social programmer", treating software knowledge as a public good, participatory development culture, and improving the social media ecosystem for developers.
This document discusses software mining and datasets. It begins by introducing Tao Xie and his research group at the University of Illinois which focuses on software analytics. It then discusses different types of software services and data, how data has become more pervasive, and challenges in making repositories more actionable. Key topics in software analytics research are discussed including the goal of enabling insights for practitioners. Examples of mined information from different repository types like source code, bug reports, and mailing lists are provided.
A companion blogpost is available here: http://margaretstorey.com/blog/2016/12/01/fse2016panel/
The panel is available on YouTube: https://youtu.be/sE_jX92jJr8
Abstract: As software becomes more ubiquitous and pervasive in today’s interconnected and instrumented world, software engineering—as a practice and as a research topic—is having a hard time keeping up. In this panel, we invite FSE 2016’s participants to engage with five prominent software engineering researchers as they reflect on the state of current software engineering research and share how they each believe our work impacts (or should impact) science, society and industry. Our panelists will discuss whether our community as a whole is achieving the right balance of science, engineering and design in its combined research efforts. This lively and interactive panel discussion will also highlight new areas of research that our community should pay more attention to, as well as suggest new ways of conducting research that could improve the impact of software engineering research in the near and distant future.
Panelists:
Lionel Briand, University of Luxembourg
Prem Devanbu, University of California at Davis
Peri Tarr, IBM Research
Laurie Williams, North Carolina State University
Tao Xie, University of Illinois at Urbana-Champaign
Moderator:
Margaret-Anne Storey, University of Victoria
Summary of ICSE 2011 Panel on "What Industry wants from Research". This is a summary of all the presentations from that panel that I presented in an invited talk at the CSER meeting in Toronto, November, 2011.
SLE 2012 Keynote: Cognitive and Social Challenges of Ontology Use in the Biom...Margaret-Anne Storey
ABSTRACT: Ontologies can provide a conceptualization of a domain leading to a common vocabulary for communities of researchers and important standards to facilitate computation, software interoperability and data reuse. Most successful ontologies, especially those that have been developed by diverse communities over long periods of time, are typically large and complex. To address this complexity, ontology authoring and browsing tools must provide cognitive support to improve comprehension of the many concepts and relationships in ontologies. Also, ontology tools must support collaboration as the heart of ontology design and use is centered on community consensus.
In this talk, I will describe how standardized ontologies are developed and used in the biomedical and clinical domains to aid in scientific and medical discoveries. Specifically, I will present how the US National Center for Biomedical Ontology has designed the BioPortal ontology library (and associated technologies) to promote the use of standardized ontologies and tools. I will review how BioPortal and other ontology tools use established and novel visualization and collaboration approaches to improve ontology authoring and data curation activities. I will also discuss an ambitious project by the World Health Organization that leverages the use of social media to broaden participation in the development of the next version of the International Classification of Diseases. To conclude, I will discuss the challenges and opportunities that arise from using ontologies to bridge communities that manage and curate important information resources.
This document outlines a proposed research approach to study the impact of collaboration on software systems. The approach involves: (1) extracting communication data from version control systems, mailing lists, and issue tracking systems, (2) studying the impact of collaboration on software quality by analyzing relationships between social metrics and post-release defects, and (3) studying the impact on development communities by analyzing how contribution management is impacted by communication. The researcher aims to validate these relationships through empirical studies of collaboration data and metrics from open source projects.
Managing Complexity Across Today’s Application Delivery Chain:Six key indicat...Compuware APM
Managing Complexity Across Today’s Application Delivery Chain:
Six key indicators for prioritizing application performance improvements
Today’s application delivery chain is harder to manage than ever. Applications ranging from mission-critical legacy systems to innovative productivity tools running on employee-owned smartphones all must be delivered flawlessly. Additionally, technologies like virtualization, the cloud and WAN optimization make managing performance even more complex. As each new application generation is deployed on top of existing assets, managing system-wide application availability and performance becomes increasingly dependent on a growing collection of incompatible tools, informal processes and multiple – often siloed – stakeholders.
This complexity is only going to grow. In this webinar, you will learn how to tame complexity and optimally manage application availability and performance.
• J.P. Garbani, of Forrester Research, highlights new research that assesses the complexity in IT operations, both now and in the future.
• Compuware’s Steve Tack details a strategic approach that will allow customers to plan and implement a coherent, structured APM framework based on the concept of an APM “Performance Journey.”
You'll learn :
• six key indicators that will reveal your APM problem areas
• how to develop a performance journey roadmap based on five core areas of APM best practices in order to manage and monitor application complexity more efficiently
• how to achieve the following goals:
• increase productivity while lowering costs
• maintain and improve service quality
• adopt new service demand quickly and efficiently
• align IT goals to meet business needs
• what the future holds for IT operations
This document introduces the FreeNEST Project Platform (P3), an open-source and virtualization-based solution for enabling efficient project work. Some key points:
- P3 provides a customizable and portable virtual working environment for project teams that can be deployed quickly and modified as needed. This increases flexibility and productivity while reducing IT costs.
- It integrates best-of-breed open source tools in one package covering the entire product development lifecycle from tasks to testing to documentation.
- By using virtualization, the same base FreeNEST image can be deployed for multiple projects/teams and customized independently, allowing organizations to support various contexts efficiently on a shared infrastructure.
- P3 has potential applications for
Edinburgh Data-Intensive Research Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability. The deluge of computational methods and plethora of computational systems prevents effective and efficient use of resources, user interfaces are not adopted at a sufficient rate to satisfy demand for scientific computing and data and knowledge is created outside suitable contexts for collaborative research to be effective. The Edinburgh Data-Intensive Research group addresses these scalability issues by providing mappings from abstract formulations to concrete and optimised executions of research challenges, by developing intuitive interfaces to enable access to steer these executions and by developing systems to aid in creating new research challenges. In this talk I will present several exemplars where we have dealt with scalability issues in scientific scenarios.
Lessons and requirements from a decade of deployed Semantic Web appsBenjamin Heitmann
The document summarizes lessons learned from analyzing over 100 Semantic Web applications from challenge competitions over the past decade. It finds that while standards like RDF, OWL and SPARQL are widely used, there remain gaps in publishing and updating Linked Data. Most applications require human intervention for data integration due to noisy RDF data. There is also a mismatch between graph-based data models and relational/object-oriented components. The document recommends addressing these issues through more guidelines, libraries, and software frameworks to improve the software engineering process for building Semantic Web applications.
SeCold - A Linked Data Platform for Mining Software Repositoriesimanmahsa
This is the SeCold presentation at MSR 2012 Conference. More info at secold.org
Paper Title:
A Linked Data Platform for Mining Software Repositories
Paper Abstract:
The mining of software repositories involves the extraction of both basic and value-added information from existing software repositories. The repositories will be mined to extract facts by different stakeholders (e.g. researchers, managers) and for various purposes. To avoid unnecessary pre-processing and analysis steps, sharing and integration of both basic and value-added facts are needed. In this research, we introduce SeCold, an open and collaborative platform for sharing software datasets. SeCold provides the first online software ecosystem Linked Data platform that supports data extraction and on-the-fly inter-dataset integration from major version control, issue tracking, and quality evaluation systems. In its first release, the dataset contains about two billion facts, such as source code statements, software licenses, and code clones from 18 000 software projects. In its second release the SeCold project will contain additional facts mined from issue trackers and versioning systems. Our approach is based on the same fundamental principle as Wikipedia: researchers and tool developers share analysis results obtained from their tools by publishing them as part of the SeCold portal and therefore make them an integrated part of the global knowledge domain. The SeCold project is an official member of the Linked Data dataset cloud and is currently the eighth largest online dataset available on the Web.
SP1: Exploratory Network Analysis with GephiJohn Breslin
ICWSM 2011 Tutorial
Sebastien Heymann and Julian Bilcke
Gephi is an interactive visualization and exploration software for all kinds of networks and relational data: online social networks, emails, communication and financial networks, but also semantic networks, inter-organizational networks and more. Designed to make data navigation and manipulation easy, it aims to fulfill the complete chain from data importing to aesthetics refinements and interaction. Users interact with the visualization and manipulate structures, shapes and colors to reveal hidden properties. The goal is to help data analysts to make hypotheses, intuitively discover patterns or errors in large data collections.
In this tutorial we will provide a hands-on demonstration of the essential functionalities of Gephi, based on a real case scenario: the exploration of student networks from the "Facebook100" dataset (Social Structure of Facebook Networks, Amanda L. Traud et al, 2011). The participants will be guided step by step through the complete chain of representation, manipulation, layout, analysis and aesthetics refinements. Particular focus will be put on filters and metrics for the creation of their first visualizations. They will be incited to compare the hypotheses suggested by their own exploration to the results actually published in the academic paper afterwards. They finally will walk away with the practical knowledge enabling them to use Gephi for their own projects. The tutorial is intended for professionals, researchers and graduates who wish to learn how playing during a network exploration can speed up their studies.
Sébastien Heymann is a Ph.D. Candidate in Computer Science at Université Pierre et Marie Curie, France. His research at the ComplexNetworks team focuses on the dynamics of realworld networks. He leads the Gephi project since 2008, and is the administrator of the Gephi Consortium.
Julian Bilcke is a Software Engineer at ISC-PIF (Complex Systems Institute of Paris, France). He is a founder and a developer for the Gephi project since 2008.
The document provides an overview of various digital technologies including AI, IoT, cloud computing, data analytics, and more. It discusses the "apples" or fundamental technologies in these areas like AR, VR, AI, IoT, and cloud computing. It then outlines several learning paths one could take to understand these technologies, beginning with foundations in areas like probability, statistics, computer science, and communications. It provides recommendations for books and courses to learn about each technology from roots to more advanced concepts. Finally, it discusses bringing all the pieces together using design thinking.
This document summarizes the key phases and sections of an IT 265 Data Structures course project. The project covered common data structures like lists, stacks, queues, trees, and sorting/searching algorithms. It evaluated recursion and provided examples of insertion sort, bubble sort, and selection sort. The goal was to demonstrate understanding of these fundamental data structures and algorithms through code examples and explanations of their applications and efficiency.
Developing successful multimedia systems is challenging as it involves integrating different media types into a coherent framework. Continuous media like video require large storage and bandwidth while automatic analysis of audio, image and video content is difficult. Multimedia computing draws from many areas and requires complex algorithms and efficient hardware. Example multimedia systems at MIT's Project Athena included applications for real estate, navigation, learning and photos sharing. Key techniques in multimedia include data compression, processing and analysis, delivery over networks, and database indexing and retrieval.
The document summarizes Tamara Lopez's PhD research proposal on reasoning about flaws in software design. The research aims to analyze software failures by taking a situational approach between the broad scope of systemic analyses and narrow focus of means analyses. It will apply qualitative methods to examine how failures manifest and are addressed in software development. The goal is to better understand why some software fails and other succeeds.
This is presentation given by SnapDragon Consultants at the 511NY ITS conference in Hawthorne, NY on October, 1, 2009. It looks at the work we did on creating 21 automated Twitter Feeds for 511NY--including 9 subway feeds.
IRJET- Windows Log Investigator System for Faster Root Cause Detection of a D...IRJET Journal
This document describes a Windows Log Investigator System that was created to help developers more easily detect the root cause of defects. The system uses a log analysis algorithm and backtracking to determine the type of defect and possible solutions. It has a graphical user interface built with C# and WPF to provide an interactive experience for analyzing logs. The system aims to significantly reduce the difficulties faced by developers in solving defects.
Analysis of IT Monitoring Using Open Source Software Techniques: A ReviewIJERD Editor
The Network administrators usually rely on generic and built-in monitoring tools for network
security. Ideally, the network infrastructure is supposed to have carefully designed strategies to scale up
monitoring tools and techniques as the network grows, over time. Without this, there can be network
performance challenges, downtimes due to failures, and most importantly, penetration attacks. These can lead to
monetary losses as well as loss of reputation. Thus, there is a need for best practices to monitor network
infrastructure in an agile manner. Network security monitoring involves collecting network packet data,
segregating it among all the 7 OSI layers, and applying intelligent algorithms to get answers to security-related
questions. The purpose is to know in real-time what is happening on the network at a detailed level, and
strengthen security by hardening the processes, devices, appliances, software policies, etc. The Multi Router
Traffic Grapher, or just simply MRTG, is free software for monitoring and measuring the traffic load
on network links. It allows the user to see traffic load on a network over time in graphical form.
This 3-sentence summary provides the high-level information about the ICWSM'11 tutorial document:
The tutorial document announces a workshop on exploratory network analysis using Gephi, an open-source graph visualization and manipulation software, to be held on July 17, 2011 from 1-4 PM with instructors Sébastien Heymann and Julian Bilcke. The tutorial will provide an introduction to Gephi and guide participants through importing data, network visualization and manipulation, analysis, and aesthetics refinements using real datasets. Participants will work in teams and present preliminary results with the goal of learning practical skills for using Gephi on their own projects.
Presentation SIG, Green IT Amsterdam workshop Green Software 12 apr 2011, Gre...Jaak Vlasveld
This presentation discusses green software and energy efficiency at the application level. It provides background on the Software Improvement Group, which analyzes over 90 systems annually and provides management advisory services and software quality certification. The presentation introduces a taxonomy of green aspects of software, including computational efficiency, algorithmic efficiency, data structures, and functional necessity. It discusses approaches to optimizing some of these aspects, like energy-aware coding of algorithms and data structures. The presentation also notes challenges like the currently energy-oblivious nature of most software development.
Past, Present, and Future of Analyzing Software DataJeongwhan Choi
The document discusses the past, present, and future of analyzing software data. It traces the evolution from early pioneers in the 1950s and 1960s who began quantifying aspects of software like size and complexity, to modern academic experiments applying machine learning techniques in the 1980s-2000s, to widespread industrial adoption and conferences focused on the topic today. The future is predicted to include more data, algorithms, roles for data scientists, and real-time analysis to address big data challenges.
Software Analytics:Towards Software Mining that Matters (2014)Tao Xie
This document discusses software analytics and summarizes several related papers and projects. It introduces Software Analytics, which aims to enable software practitioners to perform data exploration and analysis to obtain useful insights. It then summarizes papers on techniques for performance debugging by mining stack traces, scalable code clone analysis, incident management for online services, and using games to teach programming.
How temporal network analysis can help us to explore existing interrelationsh...Müller-Birn Claudia
This document discusses how temporal network analysis can help explore interrelationships in online production systems. It summarizes a talk given by Dr. Claudia Müller-Birn on exploring existing interrelationships in online production systems using temporal network analysis. The talk outlines dimensions of online production systems, issues in modeling and measuring their evolution, influence between social and technical dimensions, and how success can be defined for different online production contexts.
Similar to Mining Development Repositories to Study the Impact of Collaboration on Software Systems (20)
10 Year Impact Award Presentation - Duplicate Bug Reports Considered Harmful ...Nicolas Bettenburg
This document describes a new automated method called SEVERIS that assists NASA test engineers in assigning severity levels to defect reports. SEVERIS uses text mining and machine learning techniques on NASA's Project and Issue Tracking System (PITS) database to predict issue severities. A case study found that SEVERIS accurately predicts severities and provides probability estimates, helping guide decision making during the severity assessment process.
Ph.D. Dissertation - Studying the Impact of Developer Communication on the Qu...Nicolas Bettenburg
Software development is a largely collaborative effort, of which the actual encoding of program logic in source code is a relatively small part. Software developers have to collaborate effectively and communicate with their peers in order to avoid coordination problems. To date, little is known how developer communication during software development activities impacts the quality and evolution of a software.
In this thesis, we present and evaluate tools and techniques to recover communication data from traces of the software development activities. With this data, we study the impact of developer communication on the quality and evolution of the software through an in-depth investigation of the role of developer communication during software development activities. Through multiple case-studies on a broad spectrum of open-source software projects, we find that communication between developers stands in a direct relationship to the quality of the software. Our findings demonstrate that our models based on developer communication explain software defects as well as state-of-the art models that are based on technical information such as code and process metrics, and that social information metrics are orthogonal to these traditional metrics, leading to a more complete and integrated view on software defects. In addition, we find that communication between developers plays a important role in maintaining a healthy contribution management process, which is one of the key factors to the successful evolution of the software. Source code contributors who are part of the community surrounding open-source projects are available for limited times, and long communication times can lead to the loss of valuable contributions.
Our thesis illustrates that software development is an intricate and complex process that is strongly influenced by the social interactions between the stakeholders involved in the development activities. A traditional view based solely on technical aspects of software development such as source code size and complexity, while valuable, limits our understanding of software development activities. The research presented in this thesis consists of a first step towards gaining a more holistic view on software development activities.
Using Fuzzy Code Search to Link Code Fragments in Discussions to Source CodeNicolas Bettenburg
Talk on Using Fuzzy Code Search to Link Code Fragments in Discussions to Source Code, given at the 16th European Conference on Software Maintenance and Reengineering (CSMR'12) in Hungary.
A Lightweight Approach to Uncover Technical Information in Unstructured DataNicolas Bettenburg
This document summarizes a technical paper that presents a lightweight approach to uncover technical information from unstructured data like bug reports and email discussions. The approach uses spell checkers and adds heuristics like identifying camel case terms and programming language keywords to help classify lines of text as technical or not. Evaluation on annotated bug reports and emails shows the approach achieves precision of 86-89% and recall of 68-86% in line classification, outperforming previous state-of-the-art techniques.
Managing Community Contributions: Lessons Learned from a Case Study on Andro...Nicolas Bettenburg
This document summarizes a case study comparing community contribution processes for Android and Linux. It finds that Android actively worked to provide faster feedback on contributions, typically responding within days rather than weeks as with Linux. Android also centralized the contribution process within a web application rather than using email lists. The study also found that most contributions targeted major subsystems, with acceptance rates between 50-91%, while some Android subsystems had very low acceptance due to being more sensitive. The goal for Android was to keep users engaged by providing rapid feedback on contributions.
The document describes the MUD 2010 workshop on mining unstructured data. It provides examples of unstructured data like websites, diagrams, documents, social media, documentation, help files, source code, bug reports, commit logs, emails, and system logs. Unstructured data is characterized as being complex, diverse, and imperfect due to its lack of explicit structure or format and use of natural language, rich semantics, and no authoritative representation.
An Empirical Study on Inconsistent Changes to Code Clones at Release LevelNicolas Bettenburg
This is a talk I gave at the 2009 Working Conference on Reverse Engineering in Lille, France about our work on the effects of inconsistent changes on software quality if we observe them at a release level.
An Empirical Study on the Risks of Using Off-the-Shelf Techniques for Process...Nicolas Bettenburg
The document discusses challenges in using off-the-shelf techniques to analyze mailing list archives. It finds that up to 98% of messages contain noise and need additional processing and cleaning. Issues include resolving multiple sender identities in up to 21% of addresses, reconstructing discussion threads from the linear archives, and extracting attachments that make up around 10% of messages.
Finding Paths in Large Spaces - A* and Hierarchical A*Nicolas Bettenburg
A* search is an informed search algorithm that finds the shortest path between a starting node and a goal node. It uses a heuristic function to estimate the distance to the goal for each node, guiding the search towards the most promising nodes first. A* is optimal if the heuristic is admissible (never overestimates the actual cost to reach the goal). It is also complete and optimally efficient. The algorithm maintains two lists, an open list of nodes to explore and a closed list of explored nodes. It iteratively removes the node with the lowest estimated total cost from the open list and expands it until the goal is found.
The document describes a new algorithm to automatically identify bug-introducing changes by linking bug reports in an error reporting system to code changes in a version control system. The algorithm is an improvement on the existing SZZ algorithm by using annotation graphs, ignoring non-code changes, and removing outlier revisions. An evaluation of the new algorithm shows it reduces false positives by 36-51% and false negatives by 14% compared to the original SZZ approach.
The document discusses different types of code cloning, including intentional cloning through copy-paste and unintentional cloning due to language idioms. It notes that 10-15% of code may be cloned and that cloning can increase maintenance effort. However, cloning may also be used for experimentation without risking existing code or to address bugs through workarounds. The document outlines eight common cloning patterns and suggests that the reasons for duplication should be understood before deciding if refactoring is needed, as cloning is not always harmful.
The document discusses approximation algorithms for NP-complete problems. It introduces the idea of finding near-optimal solutions in polynomial time for problems where optimal solutions cannot be found efficiently. It provides examples of the vertex cover problem and set cover problem, describing greedy approximation algorithms that provide performance guarantees for finding near-optimal solutions for these problems. The document also discusses some open questions around whether these approximation ratios can be improved.
This document discusses models for predicting customer perceptions of software quality based on factors collected within the first three months of installation. Logistic regression is used to model rare, high-impact software failures based on variables like system size, software upgrades, operating system, etc. Linear regression is used to model frequent, low-impact customer interactions like calls based on similar predictor variables. The models found most predictors to be statistically significant due to the large sample size.
The bug report describes an issue where entering an invalid value for a BigDecimal property would cause the editor to lock up until restoring the default value. A patch was proposed to handle exceptions thrown by the BigDecimal constructor better by checking for a null error message and returning an alternative message or stack trace. The patch was committed to fix the problem. The document contains the bug report details, code snippets, and discussion between the reporter and assignee.
Accuracy measures the percentage of correct predictions out of the total number of predictions. Precision measures the percentage of positive predictions that were actually correct. Recall measures the percentage of positive cases that were correctly identified.
Talk given at ICSM 2008 Conference in Beijing, China.
Duplicate Bug reports are commonly to pollute bug reporting systems and have negative effects on a development teams' productivity. Therefore, duplicate bug reports are ignored, once identified. The findings in this research work show, that duplicate reports actually contain extra information that is not present in the original bug reports and developers can potentially benefit from this information. We conduct experiments and a case study on ECLIPSE to quantify the amount of extra information. We show that this extra information can be used to enhance techniques related to bug fixing, such as triaging.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Mining Development Repositories to Study the Impact of Collaboration on Software Systems
1. Mining Development Repositories
to Study the Impact of
Collaboration on Software Systems
Nicolas Bettenburg
nicbet@cs.queensu.ca
SOFTWARE ANALYSIS
& INTELLIGENCE LAB
Wednesday, 11 April, 12 1
2. Software Development is a Social Activity
Source Code stands in direct relation to
organizational structure. [Conway:Datamation:1968]
Developers spent large part of work day
communicating with fellow developers. [Begel:ICSE:2010]
Wednesday, 11 April, 12 2
3. Communication is Critical for Success
Communication is the most referenced
problem in distributed development.
[Grinter:GROUP:1999]
[Bird:ACMComm:2009]
Wednesday, 11 April, 12 3
4. Research Hypothesis
“The collaboration between stakeholders
impacts the code quality and the development
community of a software system.”
Wednesday, 11 April, 12 4
5. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 5
6. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 6
7. Available Knowledge in Data
Version Control Systems Mailing Lists Issue Tracking Systems
Wednesday, 11 April, 12 7
8. Available Knowledge in Data
Version Control Systems Mailing Lists Issue Tracking Systems
Communication Data
Wednesday, 11 April, 12 7
9. Available Knowledge in Data
Version Control Systems Mailing Lists Issue Tracking Systems
Communication Data
• Source Code Comments
• Change-Log Messages
• Developer Emails & Discussions
• Support Dialogues
Wednesday, 11 April, 12 7
10. Communication Data Exists
Mainly as Unstructured Data
In this report, you have defined a parameter named blocksize,
which is given a value of "7|D|1|D". In open script of data set,
there are below lines code:
<script begin>
token=Packages.java.util.StringTokenizer(params["blocksize"],"|");
vec=new Packages.java.util.Vector();
while(token.hasMoreTokens()){
vec.addElement(token.nextToken()); Eclipse #150222
}
params["DateRange"]=java.lang.Integer.parseInt(vec.elementAt(0));
</script end>
Since the value of params["blocksize"] is "7|D|1|D", vec.elementAt(0)
is "7", and then it can not be parsed to int value. In 1.0.1,
the value of params["blocksize"] might be 7|D|1|D, so it can be
parsed to int value of 7.
Extraction and processing of unstructured
data is challenging. [MUD:Workshop:2010]
Wednesday, 11 April, 12 8
11. Mining Collaboration Data
[Bettenburg:ICPC:2011]
chnical Information in Un structured Data
A Lightw eight Approach to Uncover Te
Michel Smidt
ams, Ahmed E. Hassan
Build ID: M20070212-1330
Nicolas Bettenburg, Bram Ad Dept. of Computer Science S)
gence Lab
Software Analysis and Intelli
Steps To Reproduce:
Una des a keytyinof Bremen
ng for "M1+S" (ie. Alt+
1. Create a plugin for eclipse that iversi bindione of the top level
inclu
Queen’s University
• Use Spellchecking
as mnem onic
as Bremen, for Help > any
where S is any letter that is used
the mnemonic Germ &So
ftware Updates,
menus. Since eclipse uses "S"
Kingston, Ontario, Canada Email: michelIDE nformatik.u
"S" is sufficient . @i ni-bremen.de
• Empirical validation
cs.queensu.ca
Email: {nicbet,bram,ahmed}@
2. Laun ch the plugin as part of Eclipse our example in #1)
the Help menu (to go along with
3. Press Alt+H to bring down
tes" is missing its mnemonic.
BUG: Notice "Software Upda
nication through email, cha
t, or
More information:
The code after "if (callback.is
Eclipse's MenuManager.
AcceleratorInUse(SWT
java removes the mnemonic,
.ALT | character))" inside
but it seems like Eclipse
level menumanagers like
• Improved on state of the art
Abstract—Developer commu
eratorInUse" only for top
should be checking "isAccel
s mostly of largely uns tructured
issue report comments consist
,Edit,...,Help, etc. :
rma-
File
text, mixed with technical info
data, i.e., natural language ons, source code
jargon, abbreviati
/* (non-Javadoc) onItem#update(java.l
ang.String)
tion such as project-specific
e.action.IContributi
cal artifacts * @see org.eclipse.jfac
patches, stack traces and identifiers. These techni */
of knowle dge on the technical tring property) {
represent a valuable source
public void update(S
applications from
= getItems();
tributionItem items[]
tem, with a wide range of
ICon
part of the sys vo-
s to creating project-specific items.length; i++) {
establishing traceability link en natural
for (int i = 0; i <
e-style delimiters betwe property);
cabularies. However, the fre
items[i].update(
hnical
tent make the mining of tec }
language and technical con general-purpose
t step towards a
[...]
artifacts challenging. As a firs information
}
technique to extractin g all kinds of technical
present a lightweight approach Any status on this bug?
from unstructured data, we guage text. Our
cal artifacts and natural lan
) [...]
for M6 (API) or M7 (non-API by a prototype
to untangle techni are I'd consider any contributions
nical information uncovered
g spell checking tools, which Figure 1. Examples of tech optionalposed Manager with API (Eclipse Platform
approach is based on existin in Menu in this paper.
and
ms and A 3.5 fix enta be to of the approach pro
available across platfor
that behaviour
implemwouldtion makeand to have the WorkbenchActionBuilder contributed
well-understood, fast, readily gh a
of technical artifacts. Throu
off by#208626).in 3.5,
default early gers turn it on
Bug ions contributed MenuMana
impartial to different kinds
and actionSets/editorAct
our approach
MenuManagers
demonstrate that in the correct place).
handcrafted benchmark, we
(if I can find MenuManagers
technical
is able to successfully uncover a wide range of team to make sure we understan
a
d what the
such, mining unstructured dat
I'd like us to work with the SWT
data.
way
sure that we aren't getting in the
information in unstructured or project-specific terms. As
correct platform behavior is, and make
ormation
onics) seems odd to me, in
ge analysis, unstructured dat
a, the exchange of inf
nt behavior (i.e. turning off mnem
is challenging: it is meant for
of that. The curre
Keywords-text mining, langua
we should fix it properly.
automated processing using
general. If we're going to fix this,
technical information. between humans, rather than
presents an example of tech-
computer machinery. Figure 1
I. I NT RO DU CT ION found in unstructured data.
nical information commonly
a unique history of design ering technical information
Every software system has Recent approaches for discov
Wednesday, 11 April, 12 changes, as well as development and e focussed on recognizing 9
ions, software unstructured data [3]–[5] hav
12. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 10
13. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 10
14. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 11
15. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 11
16. Quantify Impact on Quality: Idea
Extracted Communication Data
Wednesday, 11 April, 12 12
17. Quantify Impact on Quality: Idea
Extracted Communication Data
compute
Social Metrics
Wednesday, 11 April, 12 12
18. Quantify Impact on Quality: Idea
Extracted Communication Data
compute
Social Metrics
measure relationships
Post-Release Defects
Wednesday, 11 April, 12 12
19. Discussion Social
CONTENT STRUCTURES
4 Dimensions
of Measures
Measures of Communication
WORKFLOW DYNAMICS
Wednesday, 11 April, 12 13
20. Conceptual Approach
Measure Measure
Discussion Post-Release
Metrics Bugs
6 months 6 months
time
LINK USING STATISTICAL MODELS
Wednesday, 11 April, 12 14
21. Findings of our work
(1) Social metrics explain post-release defects
as good as code metrics.
Wednesday, 11 April, 12 15
22. Findings of our work
(1) Social metrics explain post-release defects
as good as code metrics.
(2) Combination of social metrics and code
metrics is cumulative.
Wednesday, 11 April, 12 15
23. Findings of our work
(1) Social metrics explain post-release defects
as good as code metrics.
(2) Combination of social metrics and code
metrics is cumulative.
(3) Identify factors that have positive and
negative relationships with defects.
Wednesday, 11 April, 12 15
24. Findings of our work
(1) Social metrics explain post-release defects
as good as code metrics.
(2) Combination of social metrics and code
metrics is cumulative.
(3) Identify factors that have positive and
negative relationships with defects.
[ICPC‘2010] (Best Paper)
[JEMSE?]
Wednesday, 11 April, 12 15
25. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 16
26. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 16
27. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 16
28. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 17
29. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 17
30. Proposed Approach
I. Extraction of communication data
II. Study impact on software quality
III. Study impact on development community
Wednesday, 11 April, 12 17
31. Available Knowledge in Data
Code Review Systems Mailing Lists Issue Tracking Systems
Data on Management
of Code Contributions
Wednesday, 11 April, 12 18
32. Contribution Management
Patch
Project
Feedback
Repository
Feedback
Submission
Review OK Verification OK
Integration
Wednesday, 11 April, 12 19
33. Studying Impact on Community through
Contribution Management
Goal:
Study how contributors, reviewers, verifiers and the
software are impacted by communication (anomalies)
through statistical models.
Example:
Reviewers leaving community due to lack of feedback
Wednesday, 11 April, 12 20
34. Available Knowledge in Data
Version Control Systems Mailing Lists Issue Tracking Systems
Workflow Information
Social Networks
Wednesday, 11 April, 12 21
35. Evolution of Code-Knowledge
Communities
Internet Explorer reed
masayuki
cjcypoi02 dietrich
steve.england corevette
steffen.wilberg
davemgarrett
mmortal03 timeless mano
fittysix
matspal
longsonr
zurtex
matti edilee
mconnor
cwwmozilla beltzner
dveditz
adelfino zeniko
kliu
alice0775
sziadeh mark.finkle robert.bugzilla
philringnalda
sgautherie.bz kev
faaborg
johnath
martijn.martijn
jmjeffery jo.hermans nrthomas gavin.sharp polidobj
m-wada
XML Parser
jbecerra jdarmochwal
john.p.baker jruderman mak77
ria.klaassen
VYV03354 cbook bomfog
dao
elmar.ludwig sdaugherty
vseerror
nightstalkerz l10n highmind63 twalker
mh+mozilla
klaas1988
ehsan stephen.donner
me.at.work
phiw
hskupin
ctalbert
tchung tomer
marcia timwi rotis
uliss
sylvain.pasche
bugzilla
marco.zehe cl-bugs-new2
JavaScript
tonglebeak
abillings info UI
Engine
deletesoftware anselm.meyer
eddy_nigg
matt
RainerStroebel
samuel.sidler+old alex
hasham8888
aarobertxtr
manujsabarwal johnjbarton
myles7897
paulc
shaver
smichaud
mozilla
zhangchunlin dtownsend
jdaggett
kbrosnan
bzbarsky
sdwilsh
Wednesday, 11 April, 12 22
36. Thesis Progress
Tools and techniques Empirical Validation
for mining communication repositories of presented tools and techniques
Empirical Validation Empirical Validation
of relationship between collaboration of relationship between collaboration
and software quality. and development teams.
Wednesday, 11 April, 12 23
37. Thesis Progress
Tools and techniques Empirical Validation
for mining communication repositories of presented tools and techniques
Empirical Validation Empirical Validation
of relationship between collaboration of relationship between collaboration
and software quality. and development teams.
Wednesday, 11 April, 12 23
38. Thesis Progress
Tools and techniques Empirical Validation
for mining communication repositories of presented tools and techniques
Empirical Validation Empirical Validation
of relationship between collaboration of relationship between collaboration
and software quality. and development teams.
Wednesday, 11 April, 12 23
39. Thesis Progress
Tools and techniques Empirical Validation
for mining communication repositories of presented tools and techniques
Empirical Validation Empirical Validation
of relationship between collaboration of relationship between collaboration
and software quality. and development teams.
Wednesday, 11 April, 12 23
40. Thesis Progress
Tools and techniques Empirical Validation
for mining communication repositories of presented tools and techniques
Empirical Validation Empirical Validation
of relationship between collaboration of relationship between collaboration
and software quality. and development teams.
Wednesday, 11 April, 12 23
41. Points for Discussion
• How to do evaluation of code-knowledge
communities? (ground truth)?
• Applicability to industrial settings (almost no
communication data records available)?
• Extend work to defect prediction?
• Practical implications: management,
moderation, staffing, ... ?
Wednesday, 11 April, 12 24